Effect of loading duration on uncertainty in creep analysis of clay

Abstract

Summary Some studies suggest that creep parameters should be determined using a greater quantity of creep test data to provide more reliable prediction regarding the deformation of soft soils. This study aims to investigate the effect of loading duration on model updating. One‐dimensional consolidation data of intact Vanttila clay under different loading durations collected from the literature is used for demonstration. The Bayesian probabilistic method is used to identify all unknown parameters based on the consolidation data during the entire consolidation process, and their uncertainty can be quantified through the obtained posterior probability density functions. Additionally, the optimal models are also determined from among 9 model candidates. The analyses indicate that the optimal models can describe the creep behavior of intact soft soils under different loading durations, and the adopted method can evaluate the effect of loading duration on uncertainty in the creep analysis. The uncertainty of a specific model and its model parameters decreases as more creep data are involved in the updating process, and the updated models that use more creep data can better capture the deformation behavior of an intact sample. The proposed method can provide quantified uncertainty in the process of model updating and assist engineers to decide whether the creep test data are sufficient for the creep analysis.

A coupled and interactive influence of operational parameters for optimizing power output of cleaner energy production systems under uncertain conditions

“…But, if the interaction between the two variables is large, the curved surface trend of the 3D graph would be different from the overlay of their response graph. The optimization converged at 130 th iteration results in maximum power output of 3410 W for an optimum value of SC (51A), ST (59°C), OER (3.2), HER (1.10), and IAH (0.8). Therefore, from above all the points, it can be depicted that the reliability of the proposed ANS model is high and can be used efficiently to investigate the effect of unfavorable factors on the output power of PEMFCs. Future work shall consider the hybridization of ANN with finite element simulation and uncertainty analysis for real‐time diagnosis of fuel cell …”

“…Future work shall consider the hybridization of ANN with finite element simulation 31 and uncertainty analysis for real-time diagnosis of fuel cell. [32][33][34]…”

A comparative study of different model families for the constitutive simulation of viscous clays

“…Most clays show a rate-dependent mechanical behavior as presented in many experimental works. [1][2][3][4][5][6][7][8][9][10][11] Experience has shown that rate dependency influences many geotechnical problems, for example, long-term settlement of structures, [12][13][14][15][16][17] slope creep, 18,19 pile shafts penetration, 20,21 and ground anchor relaxation. [22][23][24][25][26] Clearly, the study of the soil's viscous behavior is of relevant importance.…”

Bayesian model selection for sand with generalization ability evaluation

“…However, model selection based on optimization methods is less attractive because of the lack of considering soil uncertainty . The Bayesian approach appears to be primarily responsible for this problem, in which the ability to select the most plausible/suitable model while simultaneously obtaining the posterior uncertainty of parameters would be of considerable use to engineers . Unfortunately, Bayesian methods are only applied to selecting some simple formula or simple soil models in geotechnical engineering .…”

“…8,19 The Bayesian approach appears to be primarily responsible for this problem, in which the ability to select the most plausible/suitable model while simultaneously obtaining the posterior uncertainty of parameters would be of considerable use to engineers. [20][21][22][23][24][25][26][27][28][29][30][31][32][33][34] Unfortunately, Bayesian methods are only applied to selecting some simple formula or simple soil models in geotechnical engineering. 20,22,25,26,35 Accordingly, an investigation of Bayesian model selection for advanced soil models is desirable.…”